计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2013年
19期
200-203,264
,共5页
立体声声学回声抵消%宽线性模型%非线性失真%仿射投影算法
立體聲聲學迴聲牴消%寬線性模型%非線性失真%倣射投影算法
입체성성학회성저소%관선성모형%비선성실진%방사투영산법
Stereophonic Acoustic Echo Cancellation(SAEC)%widely linear model%nonlinear distortion%Affine Projection Algorithm(APA)
现有的立体声回声抵消器是一个实变量双输入双输出的装置,其结构复杂不易实现。宽线性模型的引入,提供了一种复变量单输入单输出的装置来替代实变量双输入双输出装置,其优点是只需处理一个复变量的输出信号而不是两个实变量输出信号,而且能通过复变量输入信号的相位和幅值分别调控声音的立体感和音质。利用输入信号适度失真的方法降低两个信号之间的相关性以解决因滤波而产生的非唯一性问题。把宽线性模型和失真信号应用到仿射投影算法中,通过仿真验证改进方法的误差性能和收敛速度。结果表明改进的方法具有误差小和收敛快的特点,因此宽线性SAEC模型更有优势。
現有的立體聲迴聲牴消器是一箇實變量雙輸入雙輸齣的裝置,其結構複雜不易實現。寬線性模型的引入,提供瞭一種複變量單輸入單輸齣的裝置來替代實變量雙輸入雙輸齣裝置,其優點是隻需處理一箇複變量的輸齣信號而不是兩箇實變量輸齣信號,而且能通過複變量輸入信號的相位和幅值分彆調控聲音的立體感和音質。利用輸入信號適度失真的方法降低兩箇信號之間的相關性以解決因濾波而產生的非唯一性問題。把寬線性模型和失真信號應用到倣射投影算法中,通過倣真驗證改進方法的誤差性能和收斂速度。結果錶明改進的方法具有誤差小和收斂快的特點,因此寬線性SAEC模型更有優勢。
현유적입체성회성저소기시일개실변량쌍수입쌍수출적장치,기결구복잡불역실현。관선성모형적인입,제공료일충복변량단수입단수출적장치래체대실변량쌍수입쌍수출장치,기우점시지수처리일개복변량적수출신호이불시량개실변량수출신호,이차능통과복변량수입신호적상위화폭치분별조공성음적입체감화음질。이용수입신호괄도실진적방법강저량개신호지간적상관성이해결인려파이산생적비유일성문제。파관선성모형화실진신호응용도방사투영산법중,통과방진험증개진방법적오차성능화수렴속도。결과표명개진적방법구유오차소화수렴쾌적특점,인차관선성SAEC모형경유우세。
The existing approach of stereophonic acoustic echo cancellation is designed by a two-input/two-output system with real random variables. Its structure appears to be complex and it is difficult to realize. This scheme will be recast as a single-input/single-output system with complex random variables by approved the widely linear model. The advantage of this method is that instead of handling two real output signals separately, it only handles one complex output signal. Moreover, the perception and quality of the stereo will be modified by the phase and module of the complex input signal, respectively. The coherence can be declined by making the input signal reasonably distorted in order to solve the nonuniqueness problem. The widely linear model and distorted signal are applied in affine projection algorithm to verify the misalignment and convergence. Experimental results indicate that the proposed method has good numerical features of less misalignment and fast convergence, so the SAEC with widely linear model has more advantage.